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对二维图像进行压缩,采用matlab编程实验,-Of two-dimensional image compression using matlab programming experiment
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lz77 image compression using matlab
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audio and speech compression,image restoration,ezw tree using trellis codes
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Image compression and dbxecompression using Discrete wavelet transform in matlab
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hufman
coding. Input QUALITY determines the amount of information that
is lost and compression achieved. Y is an encoding structure
containing fields:
Y.size Size of X
Y.numblocks Number of 8-by-8 encoded blocks
Y.qualit
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利用matlab针对图像进行马氏距离计算 ,包括压缩比、运行时间和计算复原图像的峰值信噪比,基于分段非线性权重值的Pso算法。- Using matlab to calculate the Mahalanobis distance for the image, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Based on piecewise nonl
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利用matlab针对图像进行马氏距离计算 ,线性调频脉冲压缩的Matlab程序,基于互功率谱的时延估计。- Using matlab to calculate the Mahalanobis distance for the image, LFM pulse compression of the Matlab program, Based on the time delay estimation of power spectrum.
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包括最后计算压缩图像的峰值信噪比和压缩效果的源码,利用自然梯度算法,利用matlab针对图像进行马氏距离计算 。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Use of natural gradient algorithm, Using matlab to calculate the Mahalanobis d
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用MATLAB编写的遗传算法路径规划,esprit算法对有干扰的信号频率进行估计,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Genetic algorithms using MATLAB path planning, esprit algorithm signal frequency interference can be assessed Including the final calculation of the compressed image peak signal to n
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实现用SDRAM运行nios,同时用SRAM保存摄像头数据,利用matlab针对图像进行马氏距离计算 ,线性调频脉冲压缩的Matlab程序。- Implemented with SDRAM run nios, while saving camera data SRAM, Using matlab to calculate the Mahalanobis distance for the image, LFM pulse compression of the Matlab program.
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基于matlab平台实现,包括压缩比、运行时间和计算复原图像的峰值信噪比,使用大量的有限元法求解偏微分方程。- Based on matlab platform, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Using a large number of finite element method to solve partial different
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This is a LZW image compression project using matlab
for an example, please run the LZW_test
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Image compression using block truncation code
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it is basic step to compress image which is lossless..
what lossless mean ?
image which can be reproduce completely after compression..
check it out the code and the data set
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